Fuzzy control of anticipation and evaluation behaviour in real traffic flow

Farzam Tajdari, Ali Ghaffari, Alireza Khodayari, Ali Kamali, Nima Zhilakzadeh, Naeim Ebrahimi

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)


Through recent studies, effects of lane change on the car following models have been relatively less studied. This effect is a transient state in car following behaviour during which the Follower Vehicle (FV) considerably deviates from conventional car following models for a limited time. This paper aims to control the behaviour of FV during exiting of Lane Changer (LC) according to the anticipation and evaluation behaviour. According to the latent nature of human driving decisions, data of real drivers is used to design a fuzzy controller for the behaviour vehicle route guidance. Exact inputs are employed to achieve accurate output which is the acceleration of FV. The method is evaluated via simulation experiments, and data of real drivers, which allows to demonstrate the effectiveness of the developed methodology and to highlight the improvement in comfortable drive, safety, and homogenous traffic flow with shorter traffic queues.

Original languageEnglish
Title of host publicationICRoM 2019 - 7th International Conference on Robotics and Mechatronics
Number of pages6
ISBN (Electronic)9781728166049
Publication statusPublished - Nov 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Robotics and Mechatronics - Tehran, Iran, Islamic Republic of
Duration: 20 Nov 201921 Nov 2019
Conference number: 7

Publication series

NameInternational Conference on Robotics and Mechatronics
ISSN (Electronic)2572-6889


ConferenceInternational Conference on Robotics and Mechatronics
Abbreviated titleICRoM
CountryIran, Islamic Republic of


  • anticipation and evaluation behaviour
  • car following behaviour
  • fuzzy controller
  • lane changing behaviour

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